{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1d4b4d5f-8d32-4089-9948-087cb419eefc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>behavior_type</th>\n",
       "      <th>user_geohash</th>\n",
       "      <th>item_category</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>98047837</td>\n",
       "      <td>232431562</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4245</td>\n",
       "      <td>2014-12-06 02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97726136</td>\n",
       "      <td>383583590</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5894</td>\n",
       "      <td>2014-12-09 20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>98607707</td>\n",
       "      <td>64749712</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2883</td>\n",
       "      <td>2014-12-18 11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98662432</td>\n",
       "      <td>320593836</td>\n",
       "      <td>1</td>\n",
       "      <td>96nn52n</td>\n",
       "      <td>6562</td>\n",
       "      <td>2014-12-06 10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98145908</td>\n",
       "      <td>290208520</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13926</td>\n",
       "      <td>2014-12-16 21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12256901</th>\n",
       "      <td>93812622</td>\n",
       "      <td>378365755</td>\n",
       "      <td>1</td>\n",
       "      <td>95q6d6a</td>\n",
       "      <td>11</td>\n",
       "      <td>2014-12-13 21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12256902</th>\n",
       "      <td>93812622</td>\n",
       "      <td>177724753</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12311</td>\n",
       "      <td>2014-12-14 21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12256903</th>\n",
       "      <td>93812622</td>\n",
       "      <td>234391443</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8765</td>\n",
       "      <td>2014-12-11 16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12256904</th>\n",
       "      <td>93812622</td>\n",
       "      <td>26452000</td>\n",
       "      <td>1</td>\n",
       "      <td>95q6dqc</td>\n",
       "      <td>7951</td>\n",
       "      <td>2014-12-08 22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12256905</th>\n",
       "      <td>108404535</td>\n",
       "      <td>362699797</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9847</td>\n",
       "      <td>2014-12-03 19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12256906 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            user_id    item_id  behavior_type user_geohash  item_category  \\\n",
       "0          98047837  232431562              1          NaN           4245   \n",
       "1          97726136  383583590              1          NaN           5894   \n",
       "2          98607707   64749712              1          NaN           2883   \n",
       "3          98662432  320593836              1      96nn52n           6562   \n",
       "4          98145908  290208520              1          NaN          13926   \n",
       "...             ...        ...            ...          ...            ...   \n",
       "12256901   93812622  378365755              1      95q6d6a             11   \n",
       "12256902   93812622  177724753              1          NaN          12311   \n",
       "12256903   93812622  234391443              1          NaN           8765   \n",
       "12256904   93812622   26452000              1      95q6dqc           7951   \n",
       "12256905  108404535  362699797              1          NaN           9847   \n",
       "\n",
       "                   time  \n",
       "0         2014-12-06 02  \n",
       "1         2014-12-09 20  \n",
       "2         2014-12-18 11  \n",
       "3         2014-12-06 10  \n",
       "4         2014-12-16 21  \n",
       "...                 ...  \n",
       "12256901  2014-12-13 21  \n",
       "12256902  2014-12-14 21  \n",
       "12256903  2014-12-11 16  \n",
       "12256904  2014-12-08 22  \n",
       "12256905  2014-12-03 19  \n",
       "\n",
       "[12256906 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as py\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "data_user = pd.read_csv(\"D:/Users/19202/Desktop/tianchi_mobile_recommend_train_user.csv\")\n",
    "data_user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "80676af1-a796-4d8e-ab59-806ad6b43872",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id                0\n",
       "item_id                0\n",
       "behavior_type          0\n",
       "user_geohash     8334824\n",
       "item_category          0\n",
       "time                   0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#缺失值处理\n",
    "missingTotal = data_user.isnull().sum()\n",
    "missingExist = missingTotal[missingTotal>0]\n",
    "missingExist = missingExist.sort_values(ascending=False)\n",
    "missingTotal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f5aafb77-8701-44a1-9200-d5b38e0dade8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    user_id    item_id  behavior_type user_geohash  item_category  \\\n",
      "0  98047837  232431562              1          NaN           4245   \n",
      "1  97726136  383583590              1          NaN           5894   \n",
      "2  98607707   64749712              1          NaN           2883   \n",
      "3  98662432  320593836              1      96nn52n           6562   \n",
      "4  98145908  290208520              1          NaN          13926   \n",
      "\n",
      "            time  \n",
      "0  2014-12-06 02  \n",
      "1  2014-12-09 20  \n",
      "2  2014-12-18 11  \n",
      "3  2014-12-06 10  \n",
      "4  2014-12-16 21  \n"
     ]
    }
   ],
   "source": [
    "print(data_user.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "91ab19a3-0e00-4c70-8b0d-3a15bbd8c25a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>behavior_type</th>\n",
       "      <th>user_geohash</th>\n",
       "      <th>item_category</th>\n",
       "      <th>time</th>\n",
       "      <th>date</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>98047837</td>\n",
       "      <td>232431562</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4245</td>\n",
       "      <td>2014-12-06 02</td>\n",
       "      <td>2014-12-06</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97726136</td>\n",
       "      <td>383583590</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5894</td>\n",
       "      <td>2014-12-09 20</td>\n",
       "      <td>2014-12-09</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>98607707</td>\n",
       "      <td>64749712</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2883</td>\n",
       "      <td>2014-12-18 11</td>\n",
       "      <td>2014-12-18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98662432</td>\n",
       "      <td>320593836</td>\n",
       "      <td>1</td>\n",
       "      <td>96nn52n</td>\n",
       "      <td>6562</td>\n",
       "      <td>2014-12-06 10</td>\n",
       "      <td>2014-12-06</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98145908</td>\n",
       "      <td>290208520</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13926</td>\n",
       "      <td>2014-12-16 21</td>\n",
       "      <td>2014-12-16</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    user_id    item_id  behavior_type user_geohash  item_category  \\\n",
       "0  98047837  232431562              1          NaN           4245   \n",
       "1  97726136  383583590              1          NaN           5894   \n",
       "2  98607707   64749712              1          NaN           2883   \n",
       "3  98662432  320593836              1      96nn52n           6562   \n",
       "4  98145908  290208520              1          NaN          13926   \n",
       "\n",
       "            time        date hour  \n",
       "0  2014-12-06 02  2014-12-06   02  \n",
       "1  2014-12-09 20  2014-12-09   20  \n",
       "2  2014-12-18 11  2014-12-18   11  \n",
       "3  2014-12-06 10  2014-12-06   10  \n",
       "4  2014-12-16 21  2014-12-16   21  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#一致化处理\n",
    "import re\n",
    "#拆分数据集\n",
    "data_user['date'] = data_user['time'].map(lambda s: re.compile(' ').split(s)[0])\n",
    "data_user['hour']=data_user['time'].map(lambda s:re.compile(' ').split(s)[1])\n",
    "data_user.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ea5d57e3-fbed-43d6-8427-cb17b9d1c16f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id           int64\n",
       "item_id           int64\n",
       "behavior_type     int64\n",
       "user_geohash     object\n",
       "item_category     int64\n",
       "time             object\n",
       "date             object\n",
       "hour             object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_user.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c8abc7be-c501-4c96-adef-74c5fd22efad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id                   int64\n",
       "item_id                   int64\n",
       "behavior_type             int64\n",
       "user_geohash             object\n",
       "item_category             int64\n",
       "time             datetime64[ns]\n",
       "date             datetime64[ns]\n",
       "hour                      int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#发现time列和date列应该转化为日期类数据类型，hour列应该是整数数据类型。\n",
    "#数据类型转化\n",
    "data_user['date']=pd.to_datetime(data_user['date'])\n",
    "data_user['time']=pd.to_datetime(data_user['time'])\n",
    "data_user['hour']=data_user['hour'].astype('int64')\n",
    "data_user.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7e9fb2f3-797b-44c2-973c-10d0d146f89f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>behavior_type</th>\n",
       "      <th>item_category</th>\n",
       "      <th>time</th>\n",
       "      <th>date</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.225691e+07</td>\n",
       "      <td>1.225691e+07</td>\n",
       "      <td>1.225691e+07</td>\n",
       "      <td>1.225691e+07</td>\n",
       "      <td>12256906</td>\n",
       "      <td>12256906</td>\n",
       "      <td>1.225691e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.170732e+07</td>\n",
       "      <td>2.023084e+08</td>\n",
       "      <td>1.105271e+00</td>\n",
       "      <td>6.846162e+03</td>\n",
       "      <td>2014-12-04 04:47:28.445702144</td>\n",
       "      <td>2014-12-03 13:58:23.675396352</td>\n",
       "      <td>1.481799e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.913000e+03</td>\n",
       "      <td>6.400000e+01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>2014-11-18 00:00:00</td>\n",
       "      <td>2014-11-18 00:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.584965e+07</td>\n",
       "      <td>1.014130e+08</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>3.721000e+03</td>\n",
       "      <td>2014-11-26 15:00:00</td>\n",
       "      <td>2014-11-26 00:00:00</td>\n",
       "      <td>1.000000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.292804e+07</td>\n",
       "      <td>2.021359e+08</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>6.209000e+03</td>\n",
       "      <td>2014-12-04 14:00:00</td>\n",
       "      <td>2014-12-04 00:00:00</td>\n",
       "      <td>1.600000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.073774e+08</td>\n",
       "      <td>3.035405e+08</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.029000e+04</td>\n",
       "      <td>2014-12-11 23:00:00</td>\n",
       "      <td>2014-12-11 00:00:00</td>\n",
       "      <td>2.000000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.424559e+08</td>\n",
       "      <td>4.045625e+08</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>1.408000e+04</td>\n",
       "      <td>2014-12-18 23:00:00</td>\n",
       "      <td>2014-12-18 00:00:00</td>\n",
       "      <td>2.300000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.122920e+07</td>\n",
       "      <td>1.167397e+08</td>\n",
       "      <td>4.572662e-01</td>\n",
       "      <td>3.809922e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.474778e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            user_id       item_id  behavior_type  item_category  \\\n",
       "count  1.225691e+07  1.225691e+07   1.225691e+07   1.225691e+07   \n",
       "mean   7.170732e+07  2.023084e+08   1.105271e+00   6.846162e+03   \n",
       "min    4.913000e+03  6.400000e+01   1.000000e+00   2.000000e+00   \n",
       "25%    3.584965e+07  1.014130e+08   1.000000e+00   3.721000e+03   \n",
       "50%    7.292804e+07  2.021359e+08   1.000000e+00   6.209000e+03   \n",
       "75%    1.073774e+08  3.035405e+08   1.000000e+00   1.029000e+04   \n",
       "max    1.424559e+08  4.045625e+08   4.000000e+00   1.408000e+04   \n",
       "std    4.122920e+07  1.167397e+08   4.572662e-01   3.809922e+03   \n",
       "\n",
       "                                time                           date  \\\n",
       "count                       12256906                       12256906   \n",
       "mean   2014-12-04 04:47:28.445702144  2014-12-03 13:58:23.675396352   \n",
       "min              2014-11-18 00:00:00            2014-11-18 00:00:00   \n",
       "25%              2014-11-26 15:00:00            2014-11-26 00:00:00   \n",
       "50%              2014-12-04 14:00:00            2014-12-04 00:00:00   \n",
       "75%              2014-12-11 23:00:00            2014-12-11 00:00:00   \n",
       "max              2014-12-18 23:00:00            2014-12-18 00:00:00   \n",
       "std                              NaN                            NaN   \n",
       "\n",
       "               hour  \n",
       "count  1.225691e+07  \n",
       "mean   1.481799e+01  \n",
       "min    0.000000e+00  \n",
       "25%    1.000000e+01  \n",
       "50%    1.600000e+01  \n",
       "75%    2.000000e+01  \n",
       "max    2.300000e+01  \n",
       "std    6.474778e+00  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#异常值处理\n",
    "data_user = data_user.sort_values(by='time',ascending=True)\n",
    "data_user = data_user.reset_index(drop=True)\n",
    "data_user.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "38f7e911-0dc2-4d58-9ab6-3b9ac7443f5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'pv_daily')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#pv_daily记录每天用户操作次数，uv_daily记录每天不同的上线用户数量\n",
    "pv_daily=data_user.groupby('date')['user_id'].count().reset_index().rename(columns={'user_id':'pv'})\n",
    "uv_daily=data_user.groupby('date')['user_id'].apply(lambda x:x.drop_duplicates().count()).reset_index().rename(columns={'user_id':'uv'})\n",
    "fig,axes=plt.subplots(2,1,sharex=True)\n",
    "pv_daily.plot(x='date',y='pv',ax=axes[0])\n",
    "uv_daily.plot(x='date',y='uv',ax=axes[1])\n",
    "axes[0].set_title('pv_daily')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e12c9084-0006-47c2-990f-80c611113c06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'uv_hour')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#小时访问量分析\n",
    "#pv_hour记录每小时用户操作次数，uv_hour记录每小时不同的上线用户数量\n",
    "pv_hour=data_user.groupby('hour')['user_id'].count().reset_index().rename(columns={'user_id':'pv'})\n",
    "uv_hour=data_user.groupby('hour')['user_id'].apply(lambda x:x.drop_duplicates().count()).reset_index().rename(columns={'user_id':'uv'})\n",
    "fig,axes=plt.subplots(2,1,sharex=True)\n",
    "pv_hour.plot(x='hour',y='pv',ax=axes[0])\n",
    "uv_hour.plot(x='hour',y='uv',ax=axes[1])\n",
    "axes[0].set_title('pv_hour')\n",
    "axes[0].set_title('uv_hour')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "93b9945d-86eb-4862-afcb-007854724b03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'pv_different_behavior_type_except1')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#不同行为类型用户pv分析\n",
    "pv_detail=data_user.groupby(['behavior_type','hour'])['user_id'].count().reset_index().rename(columns={'user_id':'total_pv'})\n",
    "fig,axes=plt.subplots(2,1,sharex=True)\n",
    "sns.pointplot(x='hour',y='total_pv',hue='behavior_type',data=pv_detail,ax=axes[0])\n",
    "sns.pointplot(x='hour',y='total_pv',hue='behavior_type',data=pv_detail[pv_detail.behavior_type!=1],ax=axes[1])\n",
    "axes[0].set_title('pv_different_behavior_type')\n",
    "axes[1].set_title('pv_different_behavior_type_except1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2b86e7b2-b2f4-40ee-9883-efc74f8c2329",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19202\\AppData\\Local\\Temp\\ipykernel_21644\\743790341.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(data_user_buy,kde=False)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'daily_user_buy')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#（1）用户购买次数情况分析\n",
    "data_user_buy=data_user[data_user.behavior_type==4].groupby('user_id')['behavior_type'].count()\n",
    "sns.distplot(data_user_buy,kde=False)\n",
    "plt.title('daily_user_buy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c40c6fd1-efbe-4431-b12b-c24a7fa9c1be",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19202\\AppData\\Local\\Temp\\ipykernel_21644\\3172950750.py:2: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  data_use_buy1.groupby('date').apply(lambda x:x.total.sum()/x.total.count()).plot()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'daily_ARPPU')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_use_buy1=data_user[data_user.behavior_type==4].groupby(['date','user_id'])['behavior_type'].count().reset_index().rename(columns={'behavior_type':'total'})\n",
    "data_use_buy1.groupby('date').apply(lambda x:x.total.sum()/x.total.count()).plot()\n",
    "plt.title('daily_ARPPU')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "35ea8f08-e640-4f53-a469-45ebeb81e008",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19202\\AppData\\Local\\Temp\\ipykernel_21644\\283643503.py:5: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  data_use_buy2.groupby('date').apply(lambda x:x[x.behavior_type==4].total.sum()/len(x.user_id.unique())).plot()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'daily_ARPU')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ARPU(Average Revenue Per User) ：平均每用户收入，可通过 总收入/AU 计算得出。它可以衡量产品的盈利能力和发展活力。\n",
    "#活跃用户数平均消费次数=消费总次数/活跃用户人数(每天有操作行为的为活跃)\n",
    "data_user['operation']=1\n",
    "data_use_buy2=data_user.groupby(['date','user_id','behavior_type'])['operation'].count().reset_index().rename(columns={'operation':'total'})\n",
    "data_use_buy2.groupby('date').apply(lambda x:x[x.behavior_type==4].total.sum()/len(x.user_id.unique())).plot()\n",
    "plt.title('daily_ARPU')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fa3a8700-9c43-4fd6-ad80-7c649c80c687",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19202\\AppData\\Local\\Temp\\ipykernel_21644\\1309139990.py:3: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  data_use_buy2.groupby('date').apply(lambda x:x[x.behavior_type==4].total.count()/len(x.user_id.unique())).plot()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'daily_afford_rate')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#（4）付费率\n",
    "#付费率=消费人数/活跃用户人数\n",
    "data_use_buy2.groupby('date').apply(lambda x:x[x.behavior_type==4].total.count()/len(x.user_id.unique())).plot()\n",
    "plt.title('daily_afford_rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3ef95ce9-c608-44e2-aa11-f8288363dfce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19202\\AppData\\Local\\Temp\\ipykernel_21644\\385133438.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(data_user_buy3)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "大多数用户消费：1次\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#（5）同一时间段用户消费次数分布\n",
    "data_user_buy3=data_user[data_user.behavior_type==4].groupby(['user_id','date','hour'])['operation'].sum().rename('buy_count')\n",
    "sns.distplot(data_user_buy3)\n",
    "print('大多数用户消费：{}次'.format(data_user_buy3.mode()[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5454b424-ae77-432d-9002-9fffd1a00d29",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "复购率: 0.8717\n"
     ]
    }
   ],
   "source": [
    "#复购情况，即两天以上有购买行为,一天多次购买算一次\n",
    "#复购率=有复购行为的用户数/有购买行为的用户总数\n",
    "date_rebuy=data_user[data_user.behavior_type==4].groupby('user_id')['date'].apply(lambda x:len(x.unique())).rename('rebuy_count')\n",
    "print('复购率:',round(date_rebuy[date_rebuy>=2].count()/date_rebuy.count(),4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e358b7c6-69ea-426d-8d3e-31b1dd159a3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'gap_count')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#所有复购时间间隔消费次数分布\n",
    "data_day_buy=data_user[data_user.behavior_type==4].groupby(['user_id','date']).operation.count().reset_index()\n",
    "data_user_buy4=data_day_buy.groupby('user_id').date.apply(lambda x:x.sort_values().diff(1).dropna())\n",
    "data_user_buy4=data_user_buy4.map(lambda x:x.days)\n",
    "data_user_buy4.value_counts().plot(kind='bar')\n",
    "plt.title('time_gap')\n",
    "plt.xlabel('gap_day')\n",
    "plt.ylabel('gap_count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4b38572b-6f0c-4780-8606-46808287486c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12256906\n"
     ]
    }
   ],
   "source": [
    "data_user_count=data_user.groupby(['behavior_type']).count()\n",
    "data_user_count.head()\n",
    "pv_all=data_user['user_id'].count()\n",
    "print(pv_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d94a32b4-b52b-4baf-94a2-e933461c4dd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>behavior_type</th>\n",
       "      <th>点击量</th>\n",
       "      <th>加入购物车量</th>\n",
       "      <th>购买量</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_category</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>976.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "behavior_type    点击量  加入购物车量  购买量\n",
       "item_category                    \n",
       "2                3.0     0.0  0.0\n",
       "3                3.0     0.0  0.0\n",
       "4                1.0     0.0  0.0\n",
       "6               10.0     0.0  0.0\n",
       "8              976.0     4.0  4.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#不同用户行为类别的转化率\n",
    "data_category=data_user[data_user.behavior_type!=2].groupby(['item_category','behavior_type']).operation.count().unstack(1).rename(columns={1:'点击量',3:'加入购物车量',4:'购买量'}).fillna(0)\n",
    "data_category.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8368b188-a8fe-4cd3-ab57-5e7cf68168cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
